Herman Miller (Germany) Technical Analysis
MHR Stock | EUR 24.40 1.20 5.17% |
As of the 4th of December, Herman Miller retains the Standard Deviation of 2.6, market risk adjusted performance of (0.07), and Risk Adjusted Performance of (0.02). Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of Herman Miller, as well as the relationship between them. Please check out Herman Miller coefficient of variation, treynor ratio, skewness, as well as the relationship between the variance and value at risk to decide if Herman Miller is priced fairly, providing market reflects its last-minute price of 24.4 per share.
Herman Miller Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Herman, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HermanHerman |
Herman Miller technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Herman Miller Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Herman Miller volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Herman Miller Trend Analysis
Use this graph to draw trend lines for Herman Miller. You can use it to identify possible trend reversals for Herman Miller as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Herman Miller price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Herman Miller Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Herman Miller applied against its price change over selected period. The best fit line has a slop of 0 , which means Herman Miller will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.49, which is the sum of squared deviations for the predicted Herman Miller price change compared to its average price change.About Herman Miller Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Herman Miller on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Herman Miller based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Herman Miller price pattern first instead of the macroeconomic environment surrounding Herman Miller. By analyzing Herman Miller's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Herman Miller's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Herman Miller specific price patterns or momentum indicators. Please read more on our technical analysis page.
Herman Miller December 4, 2024 Technical Indicators
Most technical analysis of Herman help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Herman from various momentum indicators to cycle indicators. When you analyze Herman charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | (0.02) | |||
Market Risk Adjusted Performance | (0.07) | |||
Mean Deviation | 1.94 | |||
Coefficient Of Variation | (3,059) | |||
Standard Deviation | 2.6 | |||
Variance | 6.74 | |||
Information Ratio | (0.08) | |||
Jensen Alpha | (0.21) | |||
Total Risk Alpha | (0.45) | |||
Treynor Ratio | (0.08) | |||
Maximum Drawdown | 14.42 | |||
Value At Risk | (3.75) | |||
Potential Upside | 3.8 | |||
Skewness | (0.96) | |||
Kurtosis | 3.73 |
Complementary Tools for Herman Stock analysis
When running Herman Miller's price analysis, check to measure Herman Miller's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Herman Miller is operating at the current time. Most of Herman Miller's value examination focuses on studying past and present price action to predict the probability of Herman Miller's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Herman Miller's price. Additionally, you may evaluate how the addition of Herman Miller to your portfolios can decrease your overall portfolio volatility.
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